Multi-parameter EFI (24-h up to valid time)
Base Time: Thu 19 Mar 2026 00 UTC T+24 Valid time: Fri 20 Mar 2026 00 UTC (T+24)
This chart shows where the ENS system expects anomalous weather to occur using symbols - pink for wind and green for rain, and shading for the temperature.
The basis for the symbols is the Extreme forecast index (EFI), which compares the ENS distributions from a particular ENS run with the model climate.
ENS mean of Mean sea level pressure contours are overlaid to aid the interpretation.
Detailed description of EFI products can be found in ECMWF Forecast User Guide.
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Forecast charts and data
We provide current forecasts, climate reanalyses and specific datasets. These are available via the web, point-to-point dissemination, data servers and broadcasting.
Researchers, WMO members, commercial users and satellite data providers can gain access to ECMWF forecast products under one of our various license agreement types.
Serving meteorology
International collaboration is fundamental to the work of ECMWF, working with the EU and the meteorological community at large, including the World Meteorological Organization, space agencies, and scientists around the world.
Workshops and education
Education is a key element of our work at ECMWF, enabling our partners to get the most from ECMWF's services and develop an advanced understanding of forecasting.
| 19 March | AI Weather Quest: DJF Awards Webinar |
| March 16 – 20 | Training course: Data assimilation & Machine Learning |
| March 23 – 27 | Training course: EUMETSAT/ECMWF NWP-SAF satellite data assimilation |
| April 13 – 17 | 5th ECMWF-ESA Machine Learning Workshop |
| April 13 – 17 | Training course: Numerical methods for weather prediction |
| May 18 – 21 | Online Training course: Advanced HPC training |
| June 1 – 4 | Using ECMWF's Forecasts (UEF2026) |
| June 3 – 5 | 9th C3S General Assembly |
ECMWF workshops are open to the worldwide meteorological community, though some training is restricted to member states.